Training the proposed DrummerNet is similar to the previous unsupervised learning approaches in music [1]}, [2]}, [3]}, as they all train a system to output \(\hat{x}\)  that reconstructs the original signal \(x\) . The difference between \(\hat{x}\)  and \(x\)  works as a proxy of the difference between \(\hat{y}\)  to \(y\) .
